Automatic Speech Recognition
Transformers
PyTorch
JAX
Kannada
whisper
whisper-event
Eval Results (legacy)
Instructions to use Imadsarvm/Sarvm-Translation with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Imadsarvm/Sarvm-Translation with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="Imadsarvm/Sarvm-Translation")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("Imadsarvm/Sarvm-Translation") model = AutoModelForSpeechSeq2Seq.from_pretrained("Imadsarvm/Sarvm-Translation") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
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by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:f0c3b4ba1903009b5c6c69d85c03f4c75ef4dfd0962069c9651dd3f413b220f9
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size 3055544304
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